SOTAVerified

Image Segmentation

Image Segmentation is a computer vision task that involves dividing an image into multiple segments or regions, each of which corresponds to a different object or part of an object. The goal of image segmentation is to assign a unique label or category to each pixel in the image, so that pixels with similar attributes are grouped together.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4351–4375 of 5035 papers

TitleStatusHype
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images—0
Image Segmentation using Unsupervised Watershed Algorithm with an Over-segmentation Reduction Technique—0
Image segmentation via Cellular Automata—0
Image Segmentation via Divisive Normalization: dealing with environmental diversity—0
Image Segmentation via Probabilistic Graph Matching—0
Image Segmentation via Variational Model Based Tailored UNet: A Deep Variational Framework—0
Image Segmentation with Adaptive Spatial Priors from Joint Registration—0
Structure-Aware Image Segmentation with Homotopy Warping—0
Image Segmentation with Large Language Models: A Survey with Perspectives for Intelligent Transportation Systems—0
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors—0
Image segmentation with superpixel-based covariance descriptors in low-rank representation—0
Image Segmentation with transformers: An Overview, Challenges and Future—0
Image segmentation with traveling waves in an exactly solvable recurrent neural network—0
Image Semantic Relation Generation—0
Image Shadow Removal Using End-to-End Deep Convolutional Neural Networks—0
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation—0
IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning—0
Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices—0
Implicit Modeling -- A Generalization of Discriminative and Generative Approaches—0
Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation—0
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation—0
Implicit U-Net for volumetric medical image segmentation—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Importance of Image Enhancement Techniques in Color Image Segmentation: A Comprehensive and Comparative Study—0
Improved Inference via Deep Input Transfer—0
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All datasetsMSD (Mirror Segmentation Dataset)PMDMAS3KPascal Panoptic PartsRMASPASCAL VOCHuTu 80MARIDACOCO val2017ImageNetMSD HeartOxfordPets

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.92—Unverified
2HetNetIoU0.83—Unverified
3PMDIoU0.82—Unverified
4SANetIoU0.8—Unverified
5MirrorNetIoU0.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetIoU0.73—Unverified
2HetNetIoU0.69—Unverified
3SANetIoU0.67—Unverified
4PMDIoU0.66—Unverified
5MirrorNetIoU0.59—Unverified
#ModelMetricClaimedVerifiedStatus
1SAM2-UNetmIoU0.8—Unverified
2MAS-SAMmIoU0.79—Unverified
3MASNetmIoU0.74—Unverified
4ZoomNetmIoU0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1HIPIE (ViT-H)mIoUPartS63.8—Unverified
2PPSmIoUPartS58.6—Unverified
3HIPIE (ResNet-50)mIoUPartS57.2—Unverified
4JPPFmIoUPartS54.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MAS-SAMmIoU0.74—Unverified
2SAM2-UNetmIoU0.74—Unverified
3MASNetmIoU0.73—Unverified
4ZoomNetmIoU0.73—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CmIoU63.6—Unverified
2OneNete,4-SmAP0.552.75—Unverified
3OneNeted,4mIoU14.9—Unverified
#ModelMetricClaimedVerifiedStatus
1UNetRDice0.98—Unverified
2PALEDDice0.98—Unverified
#ModelMetricClaimedVerifiedStatus
1ResAttUNetIoU0.67—Unverified
2UNetIoU0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1SynCo (ResNet-50) 200epmask AP35.4—Unverified
#ModelMetricClaimedVerifiedStatus
1MobileOne-S0GFLOPs0.28—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4mIoU6.6—Unverified
#ModelMetricClaimedVerifiedStatus
1OneNete,4-CDice Score0.97—Unverified